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2,516 results for “Seri”
Figure 3 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 3. Lysilla laciniata (holotype, AM W199626): A, B, progressively closer ventral views of the anterior end; C, closeup view of prostomium to anteriormost segments, dorsal view; arrows point to prostomial process. Polycirrus nonatoi: D (paratype, MZUSP 1243), anterior end, ventral view; E, F (holotype, MZUSP 1213), anterior end, ventral and left ventrolateral views, respectively. Polycirrus papillosus: G–I (holotype, MZUSP 1216), G, entire worm; H, I, anterior end, dorsal and ventral views, respectively; *segment 2; J (paratype, MZUSP 1244), anterior end, ventral view. Numbers refer to segments; ll, lower lip; P, basal part of prostomium; P* or *, distal part of prostomium; ul, upper lip. Scale bars: A, 1 mm; B, 0.4; C, D, 0.3 mm; E, F, H, J, 0.2 mm; G, 0.5 mm; I, 0.1 mm.
Figure 2 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 2. Amaeana apheles (holotype, AM W5239): A, anterior end, dorsal view; arrow points to prostomial mid-dorsal process; B, anterior end, ventral view. Hauchiella renilla (holotype, AM W199607): C, D, progressively closer ventral views of anterior end. Biremis blandi (holotype, USNM 47976): E, F, entire worm, ventral and dorsal views, respectively. Enoplobranchus sanguineus: G (syntype, YPM 40569), H (syntype, YPM 40568), anterior end, ventral views; I (syntype, YPM 40568), anterior end, dorsal view; J (syntype, YPM 181), mid-body parapodia. Numbers refer to segments; ll, lower lip; P, basal part of prostomium; *, distal part of prostomium; ul, upper lip. Scale bars: A–C, 0.4 mm; D, 0.2 mm; E–F, 5 mm; G–J, 1 mm.
Figure 1 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 1. Strict consensus tree from Nogueira et al. (2013: fig. 21), indicating phylogenetic relationships among Terebelliformia family-level clades.
Figure 5 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 5. Polycirrus "clavatus" (MZUSP 1221): A–C, anterior end, ventral, dorsal, and left lateral views, respectively. Rhinothelepus occabus: D (paratype, AM W201904), anterior end, right lateral view; E (holotype, AM W201903), closeup view of the prostomium and anterior segments; unspecified arrow points to eyespots. Rhinothelepus lobatus: F (holotype, AM W5234), anterior end, left lateral view. Glossothelepus mexicanus (holotype, LACM–AHF Poly 1449): G, anterior end, dorsal view. Decathelepus wambira (paratype AM W1749): H, anterior end, right lateral view. Parathelepus collaris (specimen BMNH 1983.1696): I, anterior end, ventral view. Numbers refer to segments; unspecified arrows point to nephridial/ genital papillae; ll, lower lip; P, basal part of prostomium; *, distal part of prostomium; PP, prostomial process; ul, upper lip. Scale bars: A–C, I = 0.2 mm; D = 0.15 mm; E–F = 0.5 mm; G = 0.4 mm; H = 0.25 mm.
Figure 10 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 10. Enoplobranchus sanguineus (syntype, YPM 181): A, notochaetae; C, notopodium from mid-body segment. Decathelepus ocellatus (holotype, AM W6782): B, uncini, segment 18. Polycirrus sp. Hawaii (LACM-AHF): D, posterior end, frontal view; H, posterior end, dorsolateral view. Polycirrus nonatoi (paratype, MZUSP 1243): E, posterior end, frontal view. Polycirrus "clavatus" (MZUSP 1221): F, posterior end, right dorsolateral view. Amaeana trilobata (AM W7050): G, posterior end, left dorsolateral view. Lysilla laciniata (holotype, AM W199626): I, posterior end, right lateral view. Scale bars: A, C, 30 μm; B, 6 μm; D, 50 μm; E, G–H, 100 μm; F, 200 μm; I, 0.3 mm.
Figure 4 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 4. Amaeana apheles (AM W10864): A, anterior end, dorsal view; E, close-up view of the anterior end, right lateral view. Lysilla pacifica (AM W199622): B, anterior end, right lateral view; F, G, close-up views of the anterior end, ventral and dorsal views, respectively; unspecified arrows point to basal part of prostomium and segment 1. Lysilla bilobata (AM W199514): C, anterior end, ventral view; D, left side notopodia. Numbers refer to segments; ll, lower lip; P, basal part of prostomium; *, distal part of prostomium; PP, prostomial process; ul, upper lip. Scale bars: A, 0.5 mm; B–C, G, 0.4 mm; D, 0.2 mm; E–F, 0.3 mm.
Figure 14 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 14. One of the 54 minimum-length cladograms, showing transformation series for selected characters (see also Figs 13, 15–16) that contribute to the non-monophyly of Polycirrus, Lysilla, and Amaeana.
Figure 13 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 13. One of the 54 minimum-length cladograms, showing transformation series for selected characters (see also Figs 14–16) that contribute to the non-monophyly of Polycirrus, Lysilla, and Amaeana.
Figure 12 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 12. One of the 54 minimum-length cladograms, showing transformation series for characters potentially relevant to defining Polycirridae. A–C and A′–C′ refer to respective alternative transformation series.
Figure 8 in An assessment of the status of Polycirridae genera (Annelida: Terebelliformia) and evolutionary transformation series of characters within the family
Figure 8. Lysilla bilobata (AM W199514): A, base of notochaetae. Amaeana apheles: B, C (AM W10864), D (AM W5384): notochaetae. Amaeana trilobata (AM W7050): E, notochaetae. Glossothelepus mexicanus (holotype, LACM–AHF Poly 1449): F, notochaetae, segment 6. Scale bars: A, E–F, 10 μm; B, C, 6 μm; D, 20 μm.
Time-series global 30 m wetland maps from 2000 to 2022
<p><strong>Basic information</strong></p><p>A novel global 30 m wetland annual dataset with fine classification system is generated, covering the period of 2000-2022 and containing 8 wetland subcategories (permanent water, swamp, marsh, flooded flats, saline, mangrove forest, salt marshes, and tidal flats). </p><p><strong>Notes:</strong></p><p>The GWL_FCS30 annual maps are divided into 961 5°×5° geographical tiles, and each tile contains 23 bands which denotes the tidal flat maps in 2000, 2001, 2002,..., 2021, 2022.</p><p><strong>Usage Policy:</strong></p><p>If you plan to use our data in <strong>a scientific analysis paper</strong>, we strongly recommend contacting us in advance to seek opinions, and consider our contributions in the acknowledgments or as co-authors.</p><p><strong>Citations:</strong></p><p>Zhang, X., Liu, L., Zhao, T., Chen, X., Lin, S., Wang, J., Mi, J., and Liu, W.: GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020, Earth Syst. Sci. Data, 15, 265–293, <a href="https://doi.org/10.5194/essd-15-265-2023">https://doi.org/10.5194/essd-15-265-2023</a>, 2023</p>
A global collection of paleoclimate proxy time series over the Common Era
<p><strong>*Dec 2023 Proxy Database Update: This database has been updated based on a more stringent proxy screening procedure. All screening calculations and decisions are documented in the accompanying Julia code Pluto notebook file (see also the HTML file preview of the code). This screening has resulted in the removal of 183 proxy time series from the original file.*</strong></p><p><i><strong>Original Data Descriptor:</strong></i></p><p>This collection of paleoclimate proxy data currently includes 2591 tree ring chronologies, 197 coral and sclerosponge records, 153 ice core isotope records, 26 speleothem isotope records, 10 lake sediment records, and 1 marine sediment record, for a total of 2,978 records. The proxy records have been collected with a focus on the past 2000 years.</p><p>This dataset has been collated through collaborative efforts with the Last Millennium Reanalysis project (Hakim et al. 2016) and provides the basis for the reconstructions presented in Steiger et al. (2018). Though the majority of data records are culled from PAGES2k Consortium (2017) and Breitenmoser et al. (2014), some data was taken from the NOAA NCEI's World Data Center for Paleoclimatology archive. Additionally, data was solicited from multiple investigators such as Eric Steig, Stephanie Hayman, Sylke Draschba, Henning Kuhnert, Andy Baker, and others amounting to approximately 60 coral, ice core, speleothem, and lake sediment datasets, though all files in this archive can be freely shared. Datasets were selected whose resolution was at least 25 years, temporal duration was greater than 40 years, and consisted of proxies that had established proxy system models (forward models). </p><p>The data files are in Matlab format and the variables here include the proxy names ('lmr2k_names'), the proxy data ('lmr2k_data'), the proxy type ('archive'), the proxy measurement ('msrmt'), the proxy latitudes and longitudes ('p_lat' and 'p_lon'), and the years of the proxies ('year'). Seasonally resolved proxies have been averaged from April to the following calendar year March.</p><p>Updates will be made to this proxy collection as more proxy data become available.</p><p> </p><p>Breitenmoser, P., et al. "Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies." <i>Climate of the Past</i> 10.2 (2014): 437.</p><p>PAGES2k Consortium. "A global multiproxy database for temperature reconstructions of the common era." <i>Scientific Data</i> 4, 170088 (2017).</p><p>Hakim, Gregory J., et al. "The last millennium climate reanalysis project: Framework and first results." <i>Journal of Geophysical Research: Atmospheres</i> 121.12 (2016): 6745-6764.</p><p>Steiger, N. J. et al. "A reconstruction of global hydroclimate and dynamical variables over the Common Era." <i>Scientific Data </i>5:180086 (2018).</p>
R code and supplementary data for : "A framework for mapping conservation agricultural fields using time-series optical and radar imagery"
<p>Source code and cover crop maps for the paper "A framework for mapping conservation cropland using optical and radar time series imagery." (Zhou et al., 2025)</p> <p>https://doi.org/10.1016/j.rse.2025.114858</p> <p> </p> <p>The entire workflow consists of these steps:</p> <p>1. Obtain satellite data from Google Earth Engine platform. script path: (<a href="https://code.earthengine.google.com/?scriptPath=users%2Fyuez9466%2FCApractice%3ANDVI">https://code.earthengine.google.com/?scriptPath=users%2Fyuez9466%2FCApractice%3ANDVI</a>). You need to obtain the NDVI, NBR2, Sentinel-1 Radar dataset and Precipitation data for your research area and seltected time interval. Download .csv data from Google Cloud, then convert the format of the data for following calculations.(see 1_import_transfer_data.R)</p> <p>2. Obtain the annual crop types in your study area, either through agricultural census data or remote sensing predictions (not mentioned in this paper), calculate organic carbon input based on the crop types. Extracting seasons based on time-series NDVI values using phenofit package. (see 2_NDVI_Smooth_Divide_seasons.R)</p> <p>3. Calculating the length of the cover crop growing season and periods of bare soil, also get the nessasary covariates for tillage model meanwhile. (see 3_CC_BS_length_add_Tillage.R)</p> <p>4. Build a tillage model. (see 4_Build_Tillage_model)</p> <p>Build your own conservation agriculture fields model.</p>
Predicting time series of vegetation leaf area index across North America based on climate variables for land surface modeling using attention-enhanced LSTM
<p>We developed an attention-enhanced long and short memory (AELSTM) model for predicting vegetation LAI time series based on climatic data. The developed AELSTM model establishes the relationships between the time series of vegetation LAI and climatic variables. </p>
FIGURE 4 in The type series of Poromitra crassiceps (Pisces, Melamphaidae) with lectotype designation
FIGURE 4. Capture localities of the species used in the molecular analyses and of the primary types of P. crassiceps and P. atlantica.
FIGURE 3 in The type series of Poromitra crassiceps (Pisces, Melamphaidae) with lectotype designation
FIGURE 3. Maximum-Likelihood COI phylogram of selected Poromitra species. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (500 replicates) is shown as a dot at branch nodes; bootstrap values smaller than 60% are not indicated. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. Scale bar represents the mean number of nucleotide substitutions per site
FIGURE 1 in The type series of Poromitra crassiceps (Pisces, Melamphaidae) with lectotype designation
FIGURE 1. Günther's (1887) extant specimens of Scopelus crassiceps: (a) BMNH 1887.12.7.6, 50.2 mm SL, paralectotype, off Pernambuco, Brazil, Challenger station 120; (b) BMNH 1887.12.7.8, 57.6 mm SL, NE of New Guinea, Challenger station 220; (c) BMNH 1887.12.7.7, lectotype, 146.0 mm SL, between Prince Edward and Crozet islands, Challenger station 146.
FIGURE 2 in The type series of Poromitra crassiceps (Pisces, Melamphaidae) with lectotype designation
FIGURE 2. Type series of Poromitra atlantica: (a) paratypes, BMNH 1930.1.12.1012–1013, NE of South Georgia Island; (b) paratype, BMNH 1930.1.12.1014, South Atlantic; (c) holotype, BMNH 1930.1.12.1010 and (d) paratype, BMNH 1930.1.12.1011, both W of Cape Town.
Sliding velocity, water discharge, water pressure, and rainfall time series at Argentière Glacier between 2019 and 2021
<p>Files Description:</p> <p>==================================<br>cavitometer_2019-2021.dat:<br>==================================</p> <p>Contains 30-min sampled values of recorded sliding velocities at the cavitometer.</p> <p>Column 1 = Date<br>Column 2 = Velocity (mm/hour)</p> <p>================================<br>water_discharge_2019-2021.dat:<br>================================</p> <p>Contains 15-min sampled values of recorded water discharge at the glacier outlet.</p> <p>Column 1 = Date<br>Column 2 = Water discharge (m3/s)</p> <p>================================<br>water_pressure_2019-2021.dat:<br>================================</p> <p>Contains 30-min sampled values of recorded water pressure at the borehole BH2.</p> <p>Column 1 = Date<br>Column 2 = Water pressure (bar)</p> <p>================================<br>rainfall_2019-2021.dat:<br>================================</p> <p>Contains 30-min sampled values of recorded rainfall at the meteo station.</p> <p>Column 1 = Date<br>Column 2 = Rainfall (mm w.eq./hour)</p>
Spoon and fork - Ramadhan Series
Fasting is holding back lust, one of them is holding back hunger Source: Objaverse 1.0 / Sketchfab
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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